About the Role
We are hiring an Applied AI Scientist to build and deploy next-generation AI systems powered by large language models, voice, and multimodal capabilities. This is a hands-on product-focused role where you will design, prototype, and ship agent-based systems that solve real-world business problems.
You will work at the intersection of AI engineering and product development, taking ideas from concept to production. The role requires strong ownership, fast iteration, and the ability to work in a high-impact, fast-paced environment.
What You Will Do
Design, build, and deploy AI agents across chat, voice, and multimodal platforms
Develop and optimize agent workflows using LLMs, tools, memory, and state management
Build end-to-end conversational systems, including chat agents and real-time voice agents
Implement voice pipelines including speech-to-text (ASR), text-to-speech (TTS), turn-taking, and interruptions
Work on multilingual systems, especially optimizing performance for Indian languages
Build intelligent workflow automation systems powered by AI agents
Develop agent-based task execution systems capable of planning, action, and validation
Create AI-driven systems for content generation, campaign automation, and user engagement
Design persona-based AI systems to personalize interactions and outcomes
Implement safeguards including moderation, monitoring, and control mechanisms
Improve system reliability by reducing hallucinations and handling edge cases
Add observability, logging, and debugging mechanisms for AI behavior in production
Collaborate closely with product, engineering, and design teams to ship impactful features
Required Qualifications
3 to 7 years of experience in AI/ML or applied AI roles
Strong hands-on experience building applications using LLMs and generative AI
Experience with conversational systems such as chatbots or virtual assistants
Solid understanding of agent architectures including tool usage, memory, and state handling
Experience integrating AI models and APIs into production systems
Familiarity with backend development and system integration
Strong problem-solving and debugging skills, especially for real-world AI behavior
Ability to prototype quickly and iterate based on product requirements
Comfortable working in fast-paced, product-driven environments
Preferred Skills
Experience building voice-based AI systems or working with speech technologies
Exposure to Indian language NLP or multilingual AI systems
Knowledge of RAG systems, embeddings, and vector databases
Familiarity with agent orchestration or workflow automation frameworks
Understanding of marketing technology, campaign automation, or customer lifecycle systems
Experience building personalization or persona-based AI systems
Background in SaaS products with real users and scalability considerations
Key Technologies
Machine Learning and Deep Learning
NLP and Generative AI
Large Language Models (LLMs)
Computer Vision (nice to have)
Speech AI (ASR, TTS)
Vector Databases and Retrieval Systems
Agent Frameworks and Workflow Orchestration
What You Will Gain
Opportunity to work on cutting-edge AI systems with real-world impact
Ownership of end-to-end AI product development
Exposure to advanced technologies in agentic AI, voice, and multimodal systems
A high-growth environment with fast learning cycles
Collaborative culture with strong focus on innovation and execution
Who Should Apply
This role is ideal for candidates who enjoy building AI systems that go beyond prototypes and are deployed in real products. If you are passionate about LLMs, agent-based architectures, and solving complex real-world problems, this opportunity will be a strong fit.